Sigmae

Scope & Guideline

Advancing Rigorous Research for a Collaborative Future

Introduction

Welcome to your portal for understanding Sigmae, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageMulti-Language
ISSN2317-0840
PublisherUNIV FEDERAL ALFENAS
Support Open AccessNo
Country-
Type-
Converge-
AbbreviationSIGMAE / Sigmae
Frequency2 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressRUA GABRIEL MONTEIRO DA SILVA 700, CENTRO, ALFENAS MG 37130-000, BRAZIL

Aims and Scopes

The journal 'Sigmae' primarily focuses on the application of statistical methods and mathematical modeling across a range of disciplines. It aims to advance research that employs quantitative analysis, machine learning, and various modeling techniques to address complex problems in fields such as agriculture, economics, health, and environmental science.
  1. Statistical Modeling and Analysis:
    The journal emphasizes the use of statistical methods for modeling and analyzing data across various domains, including time series analysis, survival analysis, and regression techniques.
  2. Machine Learning Applications:
    There is a strong focus on the application of machine learning algorithms for predictive analytics and classification problems, showcasing the integration of modern computational techniques in traditional statistical research.
  3. Interdisciplinary Research:
    'Sigmae' promotes interdisciplinary approaches, merging statistics with fields such as biology, economics, and environmental science to tackle real-world issues.
  4. Data Science and Analysis Techniques:
    The journal highlights innovative data analysis techniques, including non-parametric methods, geostatistical approaches, and text mining, reflecting the evolving landscape of data science.
  5. Impact of Global Events:
    Research addressing the impacts of significant global events, particularly the COVID-19 pandemic, showcases the journal's responsiveness to contemporary issues affecting society.
Recent publications in 'Sigmae' reveal a clear trend towards innovative methodologies and contemporary issues in research. The following themes have gained prominence, reflecting the journal's adaptation to current academic and societal needs.
  1. COVID-19 Impact Studies:
    There is a notable increase in research analyzing the effects of the COVID-19 pandemic on various sectors, including health, economics, and education, highlighting the journal's relevance in addressing urgent global challenges.
  2. Machine Learning and AI Integration:
    The integration of machine learning and artificial intelligence techniques in statistical modeling is becoming a significant trend, with numerous studies exploring their applications in various fields.
  3. Geospatial and Environmental Analysis:
    Emerging themes in geospatial analysis and environmental studies are gaining traction, particularly those that employ advanced statistical techniques to understand ecological impacts and land use changes.
  4. Health and Epidemiological Modeling:
    The focus on health-related research, especially modeling infectious diseases and health outcomes, is increasingly prominent, reflecting the journal's commitment to addressing public health challenges.
  5. Data-Driven Decision Making:
    Research that emphasizes data-driven approaches for decision-making in business, agriculture, and public policy is on the rise, showcasing the growing importance of analytics in practical applications.

Declining or Waning

In contrast to its emerging themes, 'Sigmae' has observed a decline in certain areas of research focus. These waning themes may reflect shifts in academic interest or the saturation of specific topics within the field.
  1. Traditional Statistical Methods:
    There appears to be a decreasing emphasis on traditional statistical methods without the integration of advanced computational techniques, as researchers increasingly favor machine learning and data science approaches.
  2. Purely Descriptive Studies:
    Papers focusing solely on descriptive statistics or basic data summarization are becoming less common, as the journal shifts towards more analytical and predictive studies.
  3. Localized Agricultural Studies:
    Research specifically centered on localized agricultural practices without broader implications or statistical modeling is less frequently published, indicating a shift towards studies with wider applicability.
  4. Simple Correlation Analyses:
    Basic correlation analyses, particularly those lacking sophisticated modeling or predictive elements, are declining, as the journal favors more complex analyses that provide deeper insights.

Similar Journals

Spatial Statistics

Pioneering Research in Spatial Statistics
Publisher: ELSEVIER SCI LTDISSN: 2211-6753Frequency: 4 issues/year

Spatial Statistics is a premier journal published by ELSEVIER SCI LTD, focusing on innovative methodologies and applications in the realm of statistical analysis within spatial contexts. With an ISSN of 2211-6753, the journal has established itself as a significant contributor in its field since its inception in 2012, and continues to thrive, with its next volume projected through 2024. It holds a respectable Q2 ranking across several categories, including Computers in Earth Sciences, Management, Monitoring, Policy and Law, and Statistics and Probability, affirming its impact and relevance to researchers and professionals alike. The journal's commitment to publishing high-quality research enables scientists to advance understanding of spatial phenomena, facilitating informed decision-making in various applications ranging from environmental science to urban planning. As part of a robust academic community, Spatial Statistics invites submissions that push the boundaries of conventional statistical techniques, ensuring that the latest findings contribute significantly to the discipline's body of knowledge.

SIAM-ASA Journal on Uncertainty Quantification

Pioneering research for a clearer understanding of uncertainty.
Publisher: SIAM PUBLICATIONSISSN: 2166-2525Frequency: 4 issues/year

The SIAM-ASA Journal on Uncertainty Quantification, published by SIAM PUBLICATIONS, is a premier journal dedicated to advancing the field of uncertainty quantification across various disciplines, including applied mathematics, statistics, and simulation modeling. With an impressive impact factor that places it in the Q1 quartile in multiple categories such as Applied Mathematics and Statistics and Probability, this journal represents the pinnacle of research quality and relevance. Established in 2013, it has garnered a significant readership and citation rate, reaffirming its critical role in addressing complex uncertainty challenges in modern science and engineering. Although not an open access journal, it provides a platform for rigorous peer-reviewed articles that offer insightful methodologies and applications vital to both research and industry practices. Researchers, professionals, and students will find in its pages a wealth of knowledge that drives the future of quantitative analysis, modeling, and problem-solving in uncertain environments.

International Journal of Agricultural and Statistical Sciences

Exploring the Synergy Between Agriculture and Statistical Methodologies
Publisher: DR RAM KISHANISSN: 0973-1903Frequency: 2 issues/year

International Journal of Agricultural and Statistical Sciences, published by DR RAM KISHAN, is a prominent peer-reviewed journal dedicated to advancing research in the fields of agricultural sciences and statistical methodologies. With the ISSN 0973-1903 and E-ISSN 0976-3392, this journal serves as a vital platform for disseminating innovative research findings, data analyses, and theoretical approaches relevant to these areas. Although the journal's coverage in Scopus has been discontinued, it has previously demonstrated significant contributions to the academic community, holding ranks in the 45th percentile in both the 'Mathematics _ Statistics and Probability' and 'Agricultural and Biological Sciences' categories. Researchers and professionals can enhance their understanding of statistical applications in agriculture by engaging with the diverse range of articles published from 2009 to 2022. The journal values accessibility and aims to connect scholars globally, despite being a non-open access publication. This journal is essential for students, researchers, and practitioners seeking to bridge the gap between statistical science and agricultural practices.

SOCIOLOGICAL METHODS & RESEARCH

Pioneering rigorous methods for impactful sociological studies.
Publisher: SAGE PUBLICATIONS INCISSN: 0049-1241Frequency: 4 issues/year

Sociological Methods & Research (ISSN: 0049-1241, E-ISSN: 1552-8294) is a premier academic journal published by SAGE Publications Inc. in the United States, dedicated to advancing the field of sociology through the dissemination of rigorous methodological strategies. With an impressive impact factor and recognized as a Q1 journal in both Sociology and Political Science, it holds a prestigious position in the Scopus rankings, placing 7th out of 1,466 in Sociology and Political Science and 5th out of 604 in miscellaneous social sciences. The journal, which has been in continuous publication since 1972 and will extend through 2024, serves as an essential resource for researchers, practitioners, and students aiming to explore innovative methodologies and empirical research in sociology. Although it is not an open-access journal, it remains highly influential, making significant contributions to sociological scholarship and shaping contemporary discourse in the social sciences.

REVSTAT-Statistical Journal

Cultivating a Community of Statistical Pioneers.
Publisher: INST NACIONAL ESTATISTICA-INEISSN: 1645-6726Frequency: 4 issues/year

REVSTAT-Statistical Journal, published by the Instituto Nacional de Estatística (INE)Open Access model established in 2003, REVSTAT promotes the free dissemination of high-quality research, ensuring broad accessibility to its published works. Although it currently holds a Q4 category ranking in Statistics and Probability according to Scopus, the journal aims to enhance its contributions to the statistical community by featuring innovative methodologies, theoretical advancements, and applied statistical research. With a convergence period extending from 2010 to 2024, REVSTAT invites submissions that not only enrich the discipline but also encourage interdisciplinary collaboration. Its commitment to developing statistical knowledge makes it a noteworthy avenue for anyone seeking to engage with contemporary statistical discourse.

Communications for Statistical Applications and Methods

Empowering Researchers with Practical Statistical Solutions
Publisher: KOREAN STATISTICAL SOCISSN: 2287-7843Frequency: 6 issues/year

Communications for Statistical Applications and Methods is a vital academic journal dedicated to advancing the field of statistics, with a particular focus on practical applications and methodologies. Published by the Korean Statistical Society, this journal has become a significant resource for researchers, practitioners, and students engaged in statistical sciences and its diverse applications in various fields including finance and modeling. Operating without an Open Access format, the journal is accessible through institutional subscriptions, allowing a broad audience to benefit from its insights. The journal covers works from its inception in 2017 to 2024, and although it currently ranks in the Q4 and Q3 quartiles across various mathematical and statistical categories, its commitment to quality research makes it a noteworthy platform for emerging trends and innovations. The journal not only serves to disseminate knowledge but also fosters collaboration among statisticians, ensuring that crucial advancements in statistical applications are communicated effectively.

BIOMETRICS

Unveiling High-Impact Insights Across Disciplines
Publisher: WILEYISSN: 0006-341XFrequency: 4 issues/year

BIOMETRICS, published by WILEY, stands as a prestigious journal that has made substantial contributions across diverse fields, including Agricultural and Biological Sciences, Applied Mathematics, and Biochemistry. With an impressive track record from its inception in 1946 and continuing through to 2024, this journal is recognized for its rigorous peer-reviewed research and high-impact findings, evidenced by its Q1 ranking in various categories such as Medicine and Statistics. Researchers and professionals alike will find a wealth of knowledge within its pages, making it an essential resource for anyone involved in these dynamic and evolving disciplines. While BIOMETRICS does not offer open access, its reputation for delivering high-quality research ensures its continued importance in advancing the scientific ecosystem. For those seeking to stay ahead in their fields, engaging with the latest studies published in this journal is indispensable.

Thailand Statistician

Bridging Theory and Application in Statistics
Publisher: THAI STATISTICAL ASSOCISSN: 1685-9057Frequency: 2 issues/year

Thailand Statistician, published by the THAI STATISTICAL ASSOCIATION, is a pivotal journal in the realms of computational mathematics and statistics. With an ISSN of 1685-9057 and an E-ISSN of 2351-0676, this journal aims to disseminate high-quality research and innovative methodologies that advance the fields of statistics and probability. Covering a range of topics from theoretical statistics to applied computational techniques, it provides a platform for researchers, professionals, and students in Thailand and beyond to contribute their findings and insights. The journal has been gaining recognition, boasting a Scopus ranking of Q3 in Computational Mathematics and Q4 in Statistics and Probability as of 2023. With its commitment to open access, the Thailand Statistician stands as an essential resource for those striving to stay abreast of advancements in statistical methodologies and their applications, fostering the growth of statistical science in the region and globally.

ANNALS OF STATISTICS

Advancing Statistical Science Through Rigorous Research
Publisher: INST MATHEMATICAL STATISTICS-IMSISSN: 0090-5364Frequency: 6 issues/year

ANNALS OF STATISTICS, published by the Institute of Mathematical Statistics (IMS), stands as a premier journal in the field of statistical science, particularly recognized for its rigorous peer-reviewed articles and innovative contributions. With an impressive impact factor and categorized in the Q1 quartile for both Statistics and Probability, as well as Statistics, Probability, and Uncertainty, this journal is a vital resource for researchers, professionals, and students alike. Covering a comprehensive array of statistical theories and methodologies from 1996 to 2024, it aims to foster the advancement of mathematical statistics while addressing contemporary challenges in data analysis and interpretation. The journal, operating without an Open Access model, remains a key platform for disseminating high-quality research, evident from its commendable Scopus rankings of Rank #9 out of 278 in Statistics and Probability and Rank #9 out of 168 in Decision Sciences. Located in Cleveland, Ohio, the ANNALS OF STATISTICS is not just a journal but a beacon of knowledge that continues to influence statistical practices globally.

International Journal of Computational Economics and Econometrics

Transforming economic challenges into computational solutions.
Publisher: INDERSCIENCE ENTERPRISES LTDISSN: 1757-1170Frequency: 4 issues/year

International Journal of Computational Economics and Econometrics is a peer-reviewed academic journal published by INDERSCIENCE ENTERPRISES LTD, focusing on the intersection of computational methodologies and economic analysis. With an ISSN of 1757-1170 and an E-ISSN of 1757-1189, this journal provides a crucial platform for researchers and professionals interested in innovative computational approaches to tackle real-world economic problems. While it currently does not operate under an open-access model, the journal is committed to advancing knowledge in its field, particularly as it occupies a vital niche within Computer Science Applications and Economics and Econometrics, ranking in the Q4 quartile for both categories as of 2023. Covering the period from 2017 to 2024, the journal aims to foster interdisciplinary collaboration and encourage the integration of advanced computational techniques into traditional economic theory and practice. As it continues to evolve, the International Journal of Computational Economics and Econometrics remains essential for academics and practitioners looking to stay at the forefront of technological innovations in economics.